Peec AI ↗
Recurring prompt analytics and software-first AI-search measurement.
Managed answer-engine optimization with prompt research, audits, and reviewable fixes
Separates research, audit, implementation, and directory-promotion products.
Source review: · Public-source research, not a hands-on test
Founders and lean marketing teams needing prioritized AEO fixes.
Managed one-time service with manual analyst research; no checked public API or mature continuous-monitoring terms.
01 / Editorial assessment
RankVyze is a reasonable fit for a bounded, hands-on AEO sprint when a team wants findings and implementation. Its documentation states that analysts manually research prompts across four named engines, publishes a score formula, and routes fixes through reviewable changes. The $99 Sprint is a one-time service with a 45-day conditional guarantee, not proof of a mature recurring dashboard, API, citation accuracy, or revenue lift. TrustMRR supports company identity context, but no usable independent customer-review sample or controlled outcome study was found.
02 / Scope, not promises
ChatGPT, Perplexity, Gemini, and Claude; complete model, country, language, and refresh matrix is not published.
Archived research · Research dated 2026-10-15; confirm current termsResearch excerpt · Engine, language, and region coverageAI Visibility Score weights mention rate 50%, citation rate 30%, and position 20%; position credit declines after fifth place.
Archived research · Research dated 2026-10-15; confirm current termsResearch excerpt · AI Visibility ScoreGitHub, Shopify, WordPress, and code upload are described as onboarding requests; automated OAuth is in development.
Archived research · Research dated 2026-10-15; confirm access and retentionResearch excerpt · Integrations and implementationPricing page says refund applies if fewer than two engines mention the brand after 45 days, under linked guarantee terms; this is not an efficacy study.
Archived research · Research dated 2026-10-15; contract terms require confirmationResearch excerpt · Pricing and limitsAnalysts manually research prompts and record mentions, positions, cited pages, and competitors. This may better reflect visible user answers than an opaque API-only claim, but it is slower and operator-dependent.
The documented score weights mention rate, citation rate, and position. It is a statistic over the configured sample, not a universal market share or conventional search ranking.
The audit covers AI understanding, content, structured data, technical accessibility, entity signals, and authority. Issues can become implementation jobs, but approval remains part of the documented workflow.
The $99 Sprint is sold as a 45-day one-time engagement with a conditional two-engine mention refund rule. The condition does not establish citation accuracy or business outcomes.
GitHub is the best-supported implementation path today; Shopify, WordPress, and code upload connections are described as onboarding requests rather than fully automated OAuth integrations.
03 / Commercial boundaries
Terms below reflect the 2026-10-15 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
$99 one-time; 45-day engagement with research, audit, prioritized fixes, reviewable implementation, and competitor/prompt/citation tracking.
Archived research · Research dated 2026-10-15; confirm order and guarantee termsResearch excerpt · Pricing and limitsOfficial site advertises a free website scan taking about ten seconds; full trial, prompt limits, and retention are not published.
Archived research · Research dated 2026-10-15; confirm current termsResearch excerpt · Quick factsResearch checked 2026-10-15. Official pricing lists a $99 one-time AI Visibility Sprint over 45 days and separates free/paid launch-directory services from the AEO offer. The public pages do not publish complete prompt, model, export, retention, API, or recurring-monitoring terms. Confirm the linked guarantee and order conditions before purchase.
04 / The tradeoffs
Managed one-time service with manual analyst research; no checked public API or mature continuous-monitoring terms.
05 / Choose by the job
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Recurring prompt analytics and software-first AI-search measurement.
Enterprise answer-engine intelligence and governance.
Monitoring-first workflow from an established SEO suite.
06 / What we can substantiate
Public independent customer feedback is insufficient for a confidence claim. TrustMRR supports the business listing and 2026 startup identity, but no usable product-review sample was found. Confidence is therefore based on official transparency and documented workflow, not customer satisfaction or measured outcomes.
AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.
| Source | Evidence type | Checked |
|---|---|---|
| RankVyze pricing and AI Visibility Sprint ↗ | Official pricing page | |
| RankVyze documentation ↗ | Official methodology and product documentation | |
| RankVyze FAQ ↗ | Official capability and limitation page | |
| TrustMRR RankVyze listing ↗ | Independent business listing; not customer or accuracy evidence | |
| CitedIndex RankVyze listing ↗ | Directory discovery source; not quality evidence |
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
Evidence checked 2026-10-15. Official docs support product existence, manual research, score weighting, audit categories, and reviewable implementation. TrustMRR provides business-listing context but no customer-review sample. No checked source proves citation precision/recall, repeatability, causal visibility lift, incremental traffic, or revenue attribution.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.